XMI-MSIM

XMI-MSIM is an open source tool designed for predicting the spectral response of energy-dispersive X-ray fluorescence spectrometers using Monte Carlo simulations. It comes with a fully functional graphical user interface in order to make it as user friendly as possible. Considerable effort has been taken to ensure easy installation on all major platforms.

A manuscript has been published in Spectrochimica Acta Part B that covers the algorithms that power XMI-MSIM. Please include a reference to this publication in your own work if you decide to use XMI-MSIM for academic purposes.

A second manuscript was published that covers our XMI-MSIM based quantification plug-in for PyMca.

XMI-MSIM is released under the terms of the GPLv3.

Website	https://github.com/tschoonj/xmimsim
Licenses	GNU General Public License 3.0
Categories	XRF Monte Carlo GUI
Software Requirements	* fortran 2003 compiler (gfortran >= 4.4, Intel Fortran are known to work) * C compiler with OpenMP support (gcc and clang). The native Mac OS X version requires that the compiler supports Objective-C as well. When compiling the GUI with GTKMM3 support a C++ compiler becomes an additional requirement. * HDF5 * libxml2 * libxslt * Fortran GSL bindings (FGSL) or easyRNG * xraylib 3.3.0+ (including Fortran bindings) * glib2 * GTK2 (2.24.0+) + GTK-EXTRA (3.1.0+) or GTKMM3 + Gtkmm-PLplot for the graphical user interface (optional though highly recommended) * optional for the GUI: curl, json-glib, libsoup and libnotify (Linux only) * MPI (OpenMPI or Intel MPI): optional. Recommended for those that want to perform brute-force simulations with a very high number of simulated photons * The native Mac OS X build additionally requires gtk-mac-integration
Hardware Requirements	XMI-MSIM can be run on desktop computers as well as laptops. If compiled with MPI support, it can also be deployed on clusters.
Platforms	Mac OS Linux Windows
Languages	C C++ Fortran Objective-C
Input Formats	XML
Output Formats	XML CSV SPE
Contact email	Tom.Schoonjans@gmail.com
How-to
At Diamond Light Source XMI-MSIM is installed into the modules system and can be loaded via: `> module load xmi-msim` The GUI can then be started using: `> xmimsim-gui`
Documentation / Tutorials
A user guide is available online
References
XMI-MSIM is the successor to the msim program of Prof. Laszlo Vincze of Ghent University. Together with Tom Schoonjans six papers have been published over a course of 20 years that cover their work on Monte Carlo simulations of ED-XRF spectrometers. Papers by Laszlo Vincze et al. A General Monte-Carlo Simulation of Energy-Dispersive X-ray-Fluorescence Spectrometers Part 1. Unpolarized Radiation, Homogeneous Samples. Laszlo Vincze, Koen Janssens and Freddy Adams. Spectrochimica Acta Part B, 48(4), 553-573, 1993. DOI A General Monte-Carlo Simulation of Energy-Dispersive X-ray-Fluorescence Spectrometers Part 2. Polarized monochromatic radiation, homegeneous samples. Laszlo Vincze, Koen Janssens, Fred Adams, M.L. Rivers and K.W. Jones. Spectrochimica Acta Part B, 50(2), 127-147, 1995. DOI A General Monte-Carlo Simulation of Energy-Dispersive X-ray-Fluorescence Spectrometers Part 3. Polarized polychromatic radiation, homogeneous samples. Laszlo Vincze, Koen Janssens, Fred Adams and K.W. Jones. Spectrochimica Acta Part B, 50(12), 1481-1500, 1995. DOI A General Monte-Carlo Simulation of Energy-Dispersive X-ray-Fluorescence Spectrometers Part 4. Photon scattering at high X-ray energies. Laszlo Vincze, Koen Janssens, Bart Vekemans and Fred Adams. Spectrochimica Acta Part B, 54(12), 1711-1722, 1999. DOI Papers by Tom Schoonjans et al. A General Monte-Carlo Simulation of Energy-Dispersive X-ray-Fluorescence Spectrometers Part 5. Polarized radiation, stratified samples, cascade effects, M-lines. Tom Schoonjans, Laszlo Vincze, Vicente Armando Solé, Manuel Sanchez del Rio, Philip Brondeel, Geert Silversmit, Karen Appel, Claudio Ferrero. Spectrochimica Acta Part B, 70, 10-23, 2012. DOI A General Monte-Carlo Simulation of Energy-Dispersive X-ray-Fluorescence Spectrometers Part 6. Quantification through iterative simulations. Tom Schoonjans, Laszlo Vincze, Vicente Armando Solé, Manuel Sanchez del Rio, Karen Appel, Claudio Ferrero. Spectrochimica Acta Part B, 82, 36-41, 2013. DOI Posters by Tom Schoonjans et al. A general Monte Carlo simulation of ED-XRF spectrometers. New developments. Tom Schoonjans, V. Armando Solé, Manuel Sanchez del Rio, Claudio Ferrero and Laszlo Vincze. ICXOM 2011 conference, Campinas, Brazil. 5-8 September 2011. XMI-MSIM: A general Monte Carlo simulation of ED-XRF spectrometers. Tom Schoonjans, Laszlo Vincze, V. Armando Solé, Manuel Sanchez del Rio and Claudio Ferrero. European Conference on X-Ray Spectrometry, Alma Mater Studiorum Università di Bologna, Italy, 15-20 June 2014 XMI-MSIM: A general Monte Carlo simulation of ED-XRF spectrometers. Tom Schoonjans, Laszlo Vincze, V. Armando Solé, Manuel Sanchez del Rio and Claudio Ferrero. European Conference on X-Ray Spectrometry, University of Gothenburg, Sweden, 19-24 June 2016 PDF Oral presentations by Tom Schoonjans et al. Quantification of ED-XRF datasets through iterative Monte Carlo simulations: new developments. Tom Schoonjans, Claudio Ferrero, V.Armando Solé, Manuel Sanchez del Rio, Geert Silversmit, Karen Appel and Laszlo Vincze. EXRS 2012 conference, Vienna, Austria. 18-22 June 2012. A general Monte Carlo simulation of energy-dispersive X-ray fluorescence spectrometers. Tom Schoonjans. Monte Carlo simulation tools for X-ray imaging and fluorescence workshop, ESRF, Grenoble, France, 24-25 February 2014. PDF An introduction to Monte Carlo Methods in XRF analysis and a tutorial on Monte Carlo methods in XRF analysis. Tom Schoonjans. Joint ICTP-IAEA School on Novel Experimental Methodologies for Synchrotron Radiation Applications in Nano-science and Environmental Monitoring, Trieste, Italy, 17-28 November 2014. Slides talk and slides tutorial A general Monte Carlo simulation of energy-dispersive X-ray fluorescence spectrometers. Tom Schoonjans. EXSA Workshop on Quantitative methods in X-Ray Spectrometry, Berlin, Germany, 11-12 October 2017.
Instruments	This software is not associated to any instruments.